Robust speaker adaptation of continuous density HMMS using multilayer perceptron network
Mikko Harju, Petri Salmela, Olli Viikki, Mikko Lehtokangas, Jukka Saarinen · 1999
This paper compares two noise compensation techniques for increasing recognition performance on tone corrupted speech from payphones. An analysis of payphone speech is made which identifies two harmful processes signalling tones and increased background noise. The techniques of spectral subtraction and parallel model combination are compared on this task and are shown to give some improvement. Further robustness is demonstrated using RASTA-CTM speech features.